The MeteoMetrics Weather Station

A professional-grade weather dashboard by Tobi Odika

Introduce yourself and the project purpose. Briefly mention that it's the final capstone project, combining real-time data, analytics, and machine learning.

Executive Summary

15+ functional tabs with advanced weather tools
Real-time data, analytics, and machine learning
6+ chart types, modern UI, and zero critical bugs

Highlight evolution from simple tool to full meteorological platform. Mention project status as completed with full documentation.

Key Features

Real-time weather & multi-city comparison
5-day forecasting & historical trends
Live radar animations & severe alerts
Health & wellness monitoring
AI-based activity & travel suggestions

Briefly explain each feature category, focusing on benefits to the user.

Technical Architecture

MVC pattern with modular components
Tkinter frontend, matplotlib charts
OpenWeatherMap API integration
Machine learning for predictions

Describe how the architecture supports maintainability and scalability.

User Interface Highlights

Modern split-panel layout
Professional styling & color schemes
Interactive charts with multiple types
Quick Actions dashboard

Emphasize how the UI design enhances usability and engagement.

Quick Actions Dashboard

Show how Quick Actions centralizes major features.

Current Weather View

Highlight detailed metrics & real-time updates.

Forecast Tab

Discuss how forecast aids planning.

Live Weather Radar

Demonstrate radar & live animations.

Analytics & Trends

Show correlation & trend analysis.

City Comparison

Explain cross-city comparisons.

Health & Wellness

Display health-related weather info.

Activity Suggestions

Point out smart suggestions feature.

Weather Poetry

Mention creative engagement via poetry.

Weather History

Show historical weather logging.

Settings

Demonstrate customization options.

Extra Feature

Highlight additional tools.

Testing & Quality Assurance

All UI components tested
Chart generation validated
API integration stable
No critical bugs

Explain how thorough testing ensures stability.

Future Enhancements

Mobile responsive design
SQL database integration
Enhanced ML models
IoT weather station integration

Conclude with forward-looking improvements.